New Report: How to Get More Clients from Gemini In 2026
Gemini reaches 2 billion users, but 88% of its citations rank outside Google's top results. Lureon's report on how to get cited across AI Overviews & AI Mode.
New Report: How to Get More Clients from Gemini In 2026
LureonData Report · Platform SeriesPlatform Series · 4 of 4
Lureon Research · Gemini Edition
How to Get More Clients from Gemini: the 2-billion-user engine where 88% of citations rank outside Google's top results
Gemini is the widest-reaching AI system on earth, and the one most tightly wired into Google's index, entity graph, and Knowledge Graph. But it does not simply mirror your Google rankings. This Lureon report, the final part of our platform series, shows how Gemini grounds and cites sources across AI Overviews and AI Mode, and how to become one of the names it recommends.
Last updated: July 2026 · Built from a live search fan-out across 40+ current sources · Reviewed quarterly
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900Mmonthly active users in the Gemini app, up from 400M a year earlier (Google I/O 2026)
2Bmonthly users reached by Gemini-powered AI Overviews in Google Search (Google)
88%of Google AI Mode citations come from pages outside the organic top results (Moz)
95%of the top 20 global SaaS companies are Gemini enterprise customers (Google)
Quick answer: how do you get more clients from Gemini? Gemini grounds its answers in Google's index and Knowledge Graph, so you need three things at once: a Google organic foundation (for AI Overviews), earned media and entity signals it can resolve (for AI Mode, where 88% of citations rank outside the organic results), and content structured so Gemini can extract a clear passage. Align your entity across Google Business Profile, Wikipedia/Wikidata, G2, Crunchbase, and LinkedIn, add Organization, FAQPage, and SoftwareApplication schema, answer early on the page, and build a deep topic cluster to satisfy Gemini's query fan-out. Add YouTube and images, because Gemini is multimodal. Its buyers skew enterprise, which is why it matters most for B2B. Lureon runs this as a done-for-you service.
Why Gemini Is Different
The widest reach, wired into Google
Gemini is not an independent model bolted onto search. It is Google's model, trained on Google's data, wired into Google's entity graph, and fed by Google's index. That creates three advantages, and three requirements, that do not apply to ChatGPT, Perplexity, or Claude.
Unmatched distribution
The Gemini app reached 900 million monthly active users by May 2026, and Gemini-powered AI Overviews reach a separate 2 billion users a month inside Google Search across 200+ countries. Counting all surfaces, it is the widest-distribution AI system on the internet, and its web-traffic share grew from 5.4% to 27.4% in eighteen months.
Two surfaces, two rulebooks
AI Overviews (summaries at the top of Search) keep a moderate correlation with organic ranking, so classic SEO still matters there. AI Mode (the conversational surface) pulls 88% of its citations from outside the organic results. Winning Gemini means satisfying both at once, which most brands miss.
The audience is the reason to prioritize it for B2B: Gemini skews toward enterprise and professional buyers, with 95% of the top 20 global SaaS companies as customers and 120,000+ enterprises on board. These are the exact people running vendor comparisons and implementation planning. Yet most companies are absent from AI answers entirely: Lureon's AI Recommendation Gap report found 96% of B2B companies effectively invisible in AI discovery.
The Mechanics
How Gemini grounds and cites sources
Gemini answers by grounding in Google Search: it decomposes the query, retrieves pages from Google's index that answer each part, resolves the entities involved against the Knowledge Graph, and extracts citable passages. Two behaviors decide who gets named.
Gemini's query fan-out: one question becomes many
A single query is decomposed into 5–10 sub-queries, with citations drawn from pages that answer each
Source: analysis of Google's 2026 Gemini query fan-out behavior, AI Advantage Agency and SE Ranking, 2026.
Ranking gets you considered, structure gets you cited. Roughly 76% of AI Overview citations come from pages in Google's top 10, but close to half of all cited URLs rank outside the top 50, and in AI Mode 88% rank outside the organic results entirely. Translation: a Google foundation helps, but clear structure and entity strength can compensate for weaker rankings, and pure ranking without extractable structure gets skipped.
Gemini 3 became the default model powering AI Overviews globally in January 2026, and that upgrade made it more selective: it is better at identifying the single best passage on a page, so content that buries its answer below several paragraphs of context is increasingly passed over. Google's January 2026 update also reshuffled about 42% of previously cited domains, a reset that opens the citation pool for brands that move now.
Citation Drivers
What Gemini rewards
Gemini SEO is foundationally Google SEO plus a layer of engine-specific signals. Four levers stand out.
Knowledge Graph entity alignment
When Gemini decides which brand is being asked about and which sources are authoritative, Knowledge Graph signals weigh heavily. Strengthen them with consistent name, address, and phone across your Google Business Profile and site, a verified Wikipedia or Wikidata entry, complete Organization schema, and sameAs cross-references to your authoritative profiles.
Answer-first, extractable structure
Move your answer to the top of each section, write scannable short paragraphs, bullets, tables, and numbered lists, and define key entities inline in your H2s. Gemini 3 rewards the page that answers early and clearly, and skips the one that makes it hunt.
Multimodal assets
Gemini is natively multimodal, and its top-cited domain classes include YouTube. Supporting a page with a relevant YouTube asset and clear images is one of the faster citation gains observed in B2B testing, alongside inline entity definitions and dated statistics.
Earned media and E-E-A-T
Gemini resolves entities more confidently when it has encountered your brand independently across multiple authoritative sources, and E-E-A-T is the primary filter. Reddit, YouTube, and Quora presence plus earned media in publications it trusts do more for AI Mode than another post on your own blog.
The through-line: getting cited in Gemini is a "machine relations" problem (source trust, entity consistency, extractability, third-party corroboration) more than a software one. The cross-platform version is in our guide to getting recommended by ChatGPT and other LLMs.
Channel Value
The enterprise-weighted channel
Gemini's edge is not conversion rate, it is reach plus audience. It touches more buyers than any other AI system and skews toward the enterprise and professional segment that drives B2B pipeline.
The scale is unmatched: 2 billion monthly AI Overview users and 900 million app users, running on 1 to 5 billion devices through Android, Chrome, Search, and Workspace integration. The composition is what makes it matter for revenue: 40% of Gemini use is research, its enterprise footprint spans 120,000+ companies including 95% of the top 20 global SaaS firms, and its user base concentrates in the 25 to 44 professional range. For SaaS specifically, Gemini's user base skews toward exactly the enterprise buyers doing software research and vendor comparison, which is why citation authority here maps so directly to pipeline. Growth is the fastest in AI-platform history, a 407% web-share increase in eighteen months, and Google's January 2026 domain reshuffle means the trusted-source list is being rewritten right now. Rankings don't pay you. Revenue does, and Gemini puts your name in front of more qualified buyers than any other engine. The full picture is in our AI recommendation gap report.
The Playbook
How to get cited by Gemini, step by step
This is the answer engine optimization (AEO) playbook Lureon runs, tuned to Gemini's Google-grounded, entity-driven behavior. It reinforces your visibility across ChatGPT, Claude, Perplexity, and Grok too.
1
Build the Google foundation
Because AI Overviews correlate with organic ranking, rank somewhere in Google's index for your target queries, keep the site crawlable, and confirm Google-Extended grounding eligibility. This is the entry ticket for the AI Overviews surface, even though AI Mode reaches beyond it.
2
Lock your entity across the Knowledge Graph
Align name, address, and phone across Google Business Profile and your site, verify a Wikipedia or Wikidata entry, implement complete Organization schema with sameAs links, and keep signals consistent on G2, Crunchbase, and LinkedIn. Entity clarity is how Gemini decides you are the answer.
3
Answer early and structure for extraction
Lead each section with the answer, define entities inline in H2s, and use short paragraphs, tables, and lists. Add FAQPage and, for software, SoftwareApplication schema. Gemini 3 pulls the single best passage, so make that passage impossible to miss.
4
Build topical depth for query fan-out
One pillar page no longer wins, because Gemini fans a query into 5 to 10 sub-queries. Build a deep topic cluster that answers each sub-question your buyers ask, so your domain supplies citations across the whole fan-out rather than a single node.
5
Add multimodal and earn third-party proof
Support key pages with relevant YouTube video and clear images, and earn mentions in the publications, review sites, and communities (Reddit, Quora, YouTube) Gemini trusts. Independent corroboration is what wins AI Mode, where most citations sit outside your own domain and outside the organic results.
Proof
What this looks like when it works
Gemini is one surface in the full AEO program Lureon runs. The results follow.
Lureon's work is led by a senior operator with 12+ years in search, everyone else on the team has 6+ years, no juniors, no outsourcing. For SaaS companies, scope lives on the B2B SaaS AEO service page and pricing is public.
FAQ
Frequently asked questions
How do you get more clients from Gemini?
Gemini grounds its answers in Google's index and Knowledge Graph, so you need a Google organic foundation for AI Overviews, plus earned media and strong entity signals for AI Mode, where 88% of citations rank outside the organic results. Align your entity across Google Business Profile, Wikipedia or Wikidata, G2, Crunchbase, and LinkedIn, add Organization, FAQPage, and SoftwareApplication schema, answer early on the page, build a deep topic cluster for query fan-out, and add YouTube and images since Gemini is multimodal. Its enterprise-weighted audience makes it especially valuable for B2B.
Is Gemini just Google with a chat interface?
No, and assuming so is the most common mistake. Gemini is grounded in Google's index and entity graph, but it does not mirror organic rankings. A Moz 2026 study found 88% of Google AI Mode citations come from pages outside the organic results for the same query, and close to half of all AI Overview citations rank outside the top 50. Ranking on Google helps but is not sufficient; entity strength, content structure, and earned media independently determine Gemini citations.
What is the difference between AI Overviews and AI Mode?
AI Overviews are the AI-generated summaries at the top of a normal Google Search results page, reaching about 2 billion monthly users, and they keep a moderate correlation with organic ranking. AI Mode is Google's dedicated conversational search surface, with over 1 billion monthly users when counted within Search, and it pulls 88% of citations from outside the organic results. A complete Gemini strategy serves both: an organic foundation for AI Overviews, and earned media plus structure for AI Mode.
How does Gemini decide which sources to cite?
It grounds in Google Search: it decomposes the query into sub-queries (query fan-out), retrieves pages from Google's index that answer each, resolves the entities involved against the Knowledge Graph, and extracts the clearest citable passage. It weighs entity alignment, E-E-A-T, content structure and freshness, multimodal assets, and third-party corroboration. Since Gemini 3 became the AI Overviews default in January 2026, it has grown more selective about identifying the single best passage on a page.
Does ranking on Google get me cited by Gemini?
Partly, and only on one surface. About 76% of AI Overview citations come from pages in Google's top 10, so ranking clearly helps there. But nearly half of all cited URLs rank outside the top 50, and in AI Mode 88% rank outside the organic results entirely. Clear structure and strong entity signals can compensate for weaker rankings, and strong rankings without extractable structure often get skipped. Treat Google ranking as a foundation, not a guarantee.
Why does the Knowledge Graph matter for Gemini?
Because Gemini is wired into Google's entity graph, Knowledge Graph signals weigh heavily when it decides which brand a query is about and which sources are authoritative for it. Consistent name, address, and phone across your Google Business Profile and site, a verified Wikipedia or Wikidata entry, complete Organization schema, and sameAs cross-references to your profiles all strengthen entity alignment. Gemini resolves your brand more confidently when it has encountered you independently across multiple authoritative sources.
How important is video and multimodal content for Gemini?
More than for most engines. Gemini is natively multimodal and YouTube is among its top-cited domain classes, so pairing a page with a relevant YouTube asset and clear images is one of the faster citation gains observed in B2B testing. Because Google owns YouTube and Gemini draws on it heavily, a video strategy is a genuine Gemini visibility lever, not just a content nicety.
Why does one pillar page no longer win Gemini citations?
Google's 2026 Gemini update introduced more aggressive query fan-out: a single user query is decomposed into 5 to 10 sub-queries, and citations are drawn from pages that answer each. One strong pillar page can only answer a few sub-queries, so a deep topic cluster covering each facet of a topic wins consistently. Breadth of specific, well-structured coverage across a cluster now beats a single comprehensive page.
Is Gemini worth optimizing for in B2B?
Especially in B2B. Gemini reaches 2 billion monthly users through AI Overviews and skews toward enterprise and professional buyers, with 120,000+ enterprise customers including 95% of the top 20 global SaaS companies. Its users run the software research, vendor comparisons, and implementation planning that drive pipeline. Combined with the widest distribution of any AI system and the fastest market-share growth in the category, Gemini visibility maps directly to qualified B2B demand.
How do I track my Gemini visibility?
Run a fixed set of buyer queries through Gemini and Google AI Overviews on a schedule, logging whether you are cited, on which surface, and which competitors appear. Pair that with Search Console trend review to connect organic movement to AI Overview presence. AI visibility platforms like Profound diagnose where your brand appears across surfaces, while Semrush and Ahrefs track the underlying search and link signals. Lureon runs this across Gemini, ChatGPT, Claude, and Perplexity for every client.
Become the business Gemini recommends
We'll show you whether Gemini can resolve your brand today, which competitors it names across AI Overviews and AI Mode, and the 90-day plan to get into those answers.
Limited client roster: a senior-only team means capped capacity.
Methodology: this report is built from a live search fan-out run in July 2026 across 40+ current sources. Key figures: user and reach data from Alphabet Q4 2025 and Q1 2026 earnings and Google I/O 2026 disclosures via TechCrunch and Omnibound (2026); the 88%-outside-organic finding from Moz's 2026 Google AI Mode citation analysis; AI Overview top-10 and outside-top-50 citation splits from large-scale citation datasets reported by Innovate247 (2026); query fan-out behavior and the 42% domain reshuffle from AI Advantage Agency and SE Ranking (2026); Knowledge Graph, multimodal, and E-E-A-T signals from TurboAudit, Oltre AI, and AuthorityTech (2026); enterprise adoption from Google via TechCrunch. Lumanu and other client results are from Lureon reporting. Third-party figures describe the cited studies' samples, not universal rates. This is part 4 of Lureon's 4-part platform series (Claude, ChatGPT, Perplexity, Gemini).
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